Multidisciplinary Design Optimization of a Turbofan Engine Using pyCycle and OpenMDAO

Multidisciplinary Design Optimization of a Turbofan Engine Using pyCycle and OpenMDAO | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Multidisciplinary Design Optimization of a Turbofan Engine Using pyCycle and OpenMDAO Mohammad Farshidfar, Mehdi Jahromi, Jamasb Pirkandi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8123081/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The aero-engine design has been a compound of complex and multidisciplinary processes that include trade-offs and couplings between disciplines. The multidisciplinary design optimization of the turbine engine during the conceptual design phase is of prime importance due to its influence on the designs that follow. These include overall engine performance, as well as other major disciplines, such as engine economy and weight. In the present work, the engine performance code ”pyCycle” is used to create the engine model, and verification against NPSS is performed for the JT9D engine, which is chosen for all the disciplinary and optimization studies. The OpenMDAO framework serves as a foundation for modeling other disciplines (i.e., weight and cost) and the optimization process. Other disciplines consist of cost and weight, in which the objective functions to be evaluated are acquisition cost and weight of the whole engine, and are calculated using the available conceptual performance data at hand. Finally, the multi-objective optimization with the SLSQP method and ϵ -constraint approach is leveraged to form the pareto front of the multidisciplinary multi-objective design optimization process. The results showed the improvement of the performance of the selected engine by relatively minor changes to a few selected design variables. Mechanical Engineering Aeronautics and Astronautics High-Bypass Turbofan Aero-Thermodynamic MDO Multi-objective Optimization Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8123081","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":545579195,"identity":"b13590ad-7727-4637-a075-dfb13aca1785","order_by":0,"name":"Mohammad 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